Modern Python Cookbook 130+ updated recipes for modern Python 3.12 with new techniques and tools

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Free Download Modern Python Cookbook: 130+ updated recipes for modern Python 3.12 with new techniques and tools by Steven F. Lott
English | July 31, 2024 | ISBN: 1835466389 | 818 pages | PDF | 8.72 Mb
Enhance your Python skills with the third edition of Modern Python Cookbook with 130+ new and updated recipes covering Python 3.12, including new coverage on graphics, visualizations, dependencies, virtual environments, and more.

Purchase of the print or Kindle book includes a free eBook in PDF format
Key FeaturesNew chapters on type matching, data visualization, dependency management, and moreComprehensive coverage of Python 3.12 with updated recipes and techniquesProvides practical examples and detailed explanations to solve real-world problems efficientlyBook Description
Python is the go-to language for developers, engineers, data scientists, and hobbyists worldwide. Known for its versatility, Python can efficiently power applications, offering remarkable speed, safety, and scalability. This book distills Python into a collection of straightforward recipes, providing insights into specific language features within various contexts, making it an indispensable resource for mastering Python and using it to handle real-world use cases.
The third edition of Modern Python Cookbook provides an in-depth look into Python 3.12, offering more than 140 new and updated recipes that cater to both beginners and experienced developers. This edition introduces new chapters on documentation and style, data visualization with MatDescriptionlib and PyDescription, and advanced dependency management techniques using tools like Poetry and Anaconda. With practical examples and detailed explanations, this cookbook helps developers solve real-world problems, optimize their code, and get up to date with the latest Python features.
What you will learnMaster core Python data structures, algorithms, and design patternsImplement object-oriented designs and functional programming featuresUse type matching and annotations to make more expressive programsCreate useful data visualizations with MatDescriptionlib and PyDescriptionManage project dependencies and virtual environments effectivelyFollow best practices for code style and testingCreate clear and trustworthy documentation for your projectsWho this book is for
This Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book offers helpful details and design patterns for learning Python. If you are experienced, it will expand your knowledge base. Fundamental knowledge of Python programming and basic programming principles will be helpful
Table of ContentsNumbers, Strings, and TuplesStatements and SyntaxFunction DefinitionsBuilt-In Data Structures Part 1: Lists and SetsBuilt-In Data Structures Part 2: DictionariesUser Inputs and OutputsBasics of Classes and ObjectsMore Advanced Class DesignFunctional Programming FeaturesType Matching and AnnotationsInput/Output, Physical Format, and Logical LayoutGraphics and Visualization with Jupyter LabApplication Integration: ConfigurationApplication Integration: CombinationTestingDependencies and Virtual EnvironmentsDocumentation and Style

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